A Novel Image Encryption Algorithm Based on Chaotic Sequences and Cross-Diffusion of Bits

Geng, Shengtao; Wu, Tao; Shida, Wang; Zhang, Xuncai; Niu, Ying

doi:10.1109/jphot.2020.3044222

Cited by 17 publications

(16 citation statements)

References 30 publications

(29 reference statements)

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“…A scrambling technique based on two chaotic sequences created via logic-sine coupling mapping in [24]. The transformation of a scrambled image into a one-dimensional series and then fusing the low-order bits between every two pixels to modify the detailed information of the image is feasible.…”

Section: Related Workmentioning

confidence: 99%

Provably Secure and Fast Color Image Encryption Algorithm Based on S-Boxes and Hyperchaotic Map

Abduljabbar

Abduljaleel

et al. 2022

IEEE Access

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The World Wide Web is experiencing a daily increase in data transmission because of developments in multimedia technologies. Consequently, each user should prioritize preventing illegal access of this data by encrypting it before moving it over the Internet. Numerous color image encryption schemes have been developed to protect data security and privacy, indifferent to the computation cost. However, most of these schemes have high computational complexities. This research proposes a fast color image scrambling and encryption algorithm depending on different chaotic map types and an S-box that relies on a hyperchaotic map principle. The first step involves converting color image values from decimal representation to binary representation in the scrambling stage by changing the location of the bits according to a proposed swapping algorithm. Next, in the second scrambling stage, the same process occurs after returning color image values from binary representation to decimal representation and generating an Sbox with the assistance of two types of chaotic map, namely, a 2D Zaslavsky map and a 3D Hénon map. Thus, this S-box is relied upon to swap the locations of the pixels in the color image. The encryption procedure begins with the production of three key matrices using a hybrid technique that employs two low-complexity types of chaotic map, namely, a 1D Logistic map and a 3D Hénon map, followed by an XORed as a lightweight process between each key generated for the three matrices and the corresponding red, green, and blue image channels. According to the findings, the proposed scheme demonstrates the most efficiency in terms of lowering the computational cost and shows its effectiveness against a wide range of cryptographic attacks.

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Section: Related Workmentioning

confidence: 99%

Provably Secure and Fast Color Image Encryption Algorithm Based on S-Boxes and Hyperchaotic Map

Abduljabbar

Abduljaleel

et al. 2022

IEEE Access

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“…The algorithm proposed in the paper [15] encrypts the image based on chaotic sequences and cross-diffusion of bits. The pseudo-random sequences generated by the 2D-LSCM system scrambles the position pixels of image, and the pseudo-random sequence generated by the logistic system diffuses the pixels of image.…”

Section: Image Encryption Algorithmmentioning

confidence: 99%

“…• NPCR [1,[4][5][6][7][8][9][10][11][12][13][14][15][17][18][19]: For better decryption algorithm NPCR value should be low. • UACI [1,[4][5][6][7][8][9][10][11][12][13][14][15][17][18][19]: For good decrypted image quality UACI value should be low. • PSNR [5,6,10,13,14,17,18]: The larger the PSNR value, the more similar the decrypted image is to the original image.…”

Section: E Encryption Quality Checkmentioning

confidence: 99%

“…4. Correlation Coefficients [1,[4][5][6][7][8][9][10][11][12][13][14][15][17][18][19]: For a plain image, each pixel is highly correlated with its neighbor and adjacent pixels either in horizontal, vertical or diagonal direction. However, an efficient image cryptosystem should produce the cipher image with sufficiently low correlation (close to zero) in the adjacent pixels.…”

Section: ) Issuesmentioning

confidence: 99%

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Review of Image Security approaches: Concepts, Issues, Challenges and Applications

Radke¹,

Mishra²

2021

JUSST

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Currently, digital images are widely used in different applications to represent distinguishable contents. Also, diagnosing diseases using medical images became vital and crucial and if the data in these images are liable for unauthorized usage, this may lead to severe problems. The security of these data has become an urgent and serious problem and needs immediate attention. Traditional encryption and decryption algorithms are not sufficient to secure digital images. Especially, image encryption and decryption algorithms are needed. Securing image data with effective encryption approaches can be more useful for applications. This article aims to comparatively study the different digital image encryption algorithms. In the current Pandemic scenario of COVID-19, the variety of research work can be communicated through the encrypted images among researchers to avoid the leakage of information. These image encryption algorithms are having applications to secure image data and store and share them in the network environments.

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“…The DNA molecule has the characteristics of large storage capacity and strong parallelism [ 21 , 22 ], which can be well applied to the image encryption field with huge amount of information and high real-time requirements, including DNA encoding [ 23 ], DNA computing [ 24 ] and DNA decoding [ 25 ] etc. In the early days, DNA coding rules were fixed [ 26 ], DNA calculation rules were fixed and there were few types [ 27 – 30 ], which could be easily cracked by brute force; Therefore, this article was changed to bit-level dynamic DNA coding [ 31 , 32 ]. Common DNA operations such as addition and subtraction [ 27 – 30 ] are expanded to 7 types of DNA operations.…”

Section: Introductionmentioning

confidence: 99%

Medical image encryption algorithm based on a new five-dimensional three-leaf chaotic system and genetic operation

et al. 2021

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Current image encryption methods have many shortcomings for the medical image encryption with high resolution, strong correlation and large storage space, and it is difficult to obtain reliable clinically applicable medical images. Therefore, this paper proposes a medical image encryption algorithm based on a new five-dimensional three-leaf chaotic system and genetic operation. And the dynamic analysis of the phase diagram and bifurcation diagram of the five-dimensional three-leaf chaotic system selected in this paper is carried out, and NIST is used to test the randomness of its chaotic sequence. This algorithm follows the diffusion-scrambling framework, especially using the principle of DNA recombination combined with the five-dimensional three-leaf chaotic system to generate a chaotic matrix that participates in the operation. The bit-level DNA mutation operation is introduced in the diffusion, and the scrambling and diffusion effects have been further improved. Algorithm security and randomness have been enhanced. This paper evaluates the efficiency of this algorithm for medical image encryption in terms of security analysis and time performance. Security analysis is carried out from key space, information entropy, histogram, similarity between decrypted image and original image, PSNR, correlation, sensitivity, noise attack, cropping attack and so on. Perform time efficiency analysis from the perspective of time performance. The comparison between this algorithm and the experimental results obtained by some of the latest medical image encryption algorithms shows that this algorithm is superior to the existing medical image encryption algorithms to a certain extent in terms of security and time efficiency.

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A Novel Image Encryption Algorithm Based on Chaotic Sequences and Cross-Diffusion of Bits

Cited by 17 publications

References 30 publications

Provably Secure and Fast Color Image Encryption Algorithm Based on S-Boxes and Hyperchaotic Map

Provably Secure and Fast Color Image Encryption Algorithm Based on S-Boxes and Hyperchaotic Map

Review of Image Security approaches: Concepts, Issues, Challenges and Applications

Medical image encryption algorithm based on a new five-dimensional three-leaf chaotic system and genetic operation

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